This is a classic probability problem with constraints, and the key is understanding exactly what needs to happen. Let me walk you through this step-by-step.
Here's the core challenge you're facing: You need to find the probability that when you randomly select 3 balls from 10, you MUST get the green ball and you MUST NOT get the yellow ball.
Let's break this down systematically:Step 1: Calculate total possible outcomesFirst, how many ways can you choose 3 balls from 10 total balls? This is a combinations problem since order doesn't matter.
Total outcomes = \(C(10,3) = \frac{10 \times 9 \times 8}{3 \times 2 \times 1} = \frac{720}{6} = 120\)
So there are 120 different ways to select 3 balls from the box.
Step 2: Identify what makes an outcome "favorable"Here's where you need to be really careful. For our selection to meet the requirements:
- The green ball MUST be included (so that's already 1 of our 3 balls)
- The yellow ball MUST NOT be included (so we can't pick from this one)
- We need 2 more balls to complete our set of 3
Notice what this means: We've used up the green ball and excluded the yellow ball. That leaves us with \(10 - 1 - 1 = 8\) remaining balls to choose from.
Step 3: Calculate favorable outcomesNow you need to count how many ways you can pick 2 balls from these 8 remaining balls (the ones that are neither green nor yellow).
Favorable outcomes = \(C(8,2) = \frac{8 \times 7}{2 \times 1} = \frac{56}{2} = 28\)
Step 4: Apply the probability formulaProbability = \(\frac{\text{Favorable outcomes}}{\text{Total outcomes}} = \frac{28}{120}\)
Simplify by dividing both numerator and denominator by 4:
\(\frac{28}{120} = \frac{7}{30}\)
Answer: B (\(\frac{7}{30}\))The key insight: Once you lock in the green ball (must include) and exclude the yellow ball (must not include), you're really just choosing 2 balls from the 8 that remain. This transforms a seemingly complex constraint problem into a straightforward combinations calculation.
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You can check out the
step-by-step solution on Neuron by e-GMAT to master the systematic approach for probability problems with constraints. The complete solution also covers the common mistakes students make (like miscounting the remaining balls as 9 instead of 8) and shows you the pattern recognition framework that applies to all constraint-based probability questions. You can also explore other GMAT official questions with detailed solutions on Neuron for structured practice
here.
Hope this helps!